Since the Dartmouth workshop, artificial intelligence has aimed at giving human intelligence to machines.
It is not certain now whether it was a huge computer or a large-scale machine that they called "a machine" at that time. If we think it as a computer, it means a calculation intelligence, and if a large-scale machine, it means giving intelligence to an object that has a body.
And the two will have quite different meanings. Artificial intelligence on computers tends to be function-specific artificial intelligence. In other words, it is artificial intelligence that specializes in one function. On the other hand, the latter is general-purpose artificial intelligence, that is, natural and overall intelligence. And this hurdle is a high one.
In order to overcome the high hurdle, it is necessary to think about building a fundamental basis, and it is essential to evolve from a Cartesian frame to a phenomenological basis.
■References (Books, papers, Web articles, etc.)
『人工知能のための哲学塾』 第一夜 フッサールの現象学 三宅 陽一郎 二〇一六年
「ゲーム、人工知能、環世界 考える存在から経験の総体へ、AIのための現象学的転回」 三宅 陽一郎 『現代思想』 2015年12月号 特集＝人工知能 青土社 二〇一五年 https://www.amazon.co.jp/dp/4791713095
人工知能のための哲学塾 第一夜「フッサールの現象学」 資料https://www.slideshare.net/youichiromiyake/ss-53507300
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